Practical Implementation and Performance Evaluation of a Voice-Controlled Wheelchair System

In the pursuit of enhancing the quality of life for individuals with disabilities through the utilization of automated technologies, numerous researchers and organizations have engaged in the development of various products.Among these innovations is the Voice-Controlled Wheelchair, an intelligent product designed to cater to the specific needs of users.This paper critically examines several existing design methods, each employing distinct hardware components to provide specialized functionalities.Following this analysis, we propose a novel model leveraging Artificial Intelligence principles.The proposed model incorporates Raspberry Pi for device control, infrared and ultrasonic sensors for robust obstacle detection, and a USB microphone for voice input.This approach aims to enhance the hardware capabilities compared to previous models while ensuring cost efficiency.